Gaurav Gupta

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Applied Scientist, AWS-AI
PhD, University of Southern California
PhD Thesis

Contact

email: ggaurav
gaurav71531

Research Interests

  • sequence models, learning partial differential equations

  • Applications of Information theory in machine learning and inference

  • Fractional dynamics and long-range memory

  • Modeling and Analysis of physiological signals (e.g. EEG, neuron spike events)

Featured

  • See our Multiwavelets-based approach to efficiently learn the Operator maps

alt text 

Gaurav Gupta, Xiongye Xiao, and Paul Bogdan
Multiwavelet-based Operator Learning for Differential Equations
In NeurIPS: Proceedings of the 34th Neural Information Processing Systems Conference,
December 2021. Spotlight
[link][arXiv] [code]


  • Check out our novel ‘‘particles’’ approach to extract the network topological information from a single node

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Gaurav Gupta, Justin Rhodes, Roozbeh Kiani, and Paul Bogdan
Neuron particles capture network topology and behavior from single units
[preprint]

Publications

Journals

  • Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, and Stefan Mihaicuta
    Fractional Dynamics Foster Deep Learning of COPD Stage Prediction [link]
    Advanced Science 2023

  • Mohamed Ridha Znaidi*, Gaurav Gupta*, Kamiar Asgari, and Paul Bogdan
    Identifying Arguments of Space-Time Fractional Diffusion: Data-driven Approach [link] [code]
    Frontiers in Applied Mathematics and Statistics, May 2020
    (* equal contribution authors)

  • Gaurav Gupta, Sergio Pequito, and Paul Bogdan
    Approximate submodular functions and performance guarantees [arXiv]
    under review Journal of Machine Learning Research (JMLR)

  • Valeriu Balaban, Sean Lim, Gaurav Gupta, James Boedicker, and Paul Bogdan
    Quantifying emergence and self-organisation of Enterobacter cloacae microbial communities [link]
    Nature Scientific reports 8, 2018

  • Gaurav Gupta and A.K. Chaturvedi
    User Selection in MIMO Interfering Broadcast Channels [link] [arXiv] [code]
    IEEE transactions on Communications, vol. 62, no. 5, pp. 1568-1576, Apr. 2014

  • Gaurav Gupta and A.K. Chaturvedi
    Conditional Entropy based User Selection for Multiuser MIMO systems [link] [arXiv] [code]
    IEEE Communications Letters, vol. 17, no. 8, pp. 1628-1631, Aug. 2013

Conference

  • Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney
    Learning Physical Models that Can Respect Conservation Laws [arXiv]
    in ICML: 40th International Conference on Machine Learning, July 2023.

  • Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park
    Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
    in ICML: 40th International Conference on Machine Learning, July 2023.

  • Nadim Saad*, Gaurav Gupta*, Shima Alizadeh, and Danielle C Maddix
    Guiding continuous operator learning through Physics-based boundary constraints [link]
    In ICLR: 11th International Conference on Learning Representations, April 2023.
    (* equal contribution authors)

  • Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Chenzhong Yin, Gengshuo Liu, Radu Balan, and Paul Bogdan
    Coupled Multiwavelet Operator Learning for Coupled Differential Equations [link]
    in ICLR: 11th International Conference on Learning Representations, April 2023.

  • Mohamed Ridha Znaidi*, Gaurav Gupta*, and Paul Bogdan
    Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System [arXiv]
    in IEEE International Symposium on Information Theory (ISIT) 2022
    (* equal contribution authors)

  • Gaurav Gupta, Xiongye Xiao, Radu Balan, and Paul Bogdan
    Non-Linear Operator Approximations for Initial Value Problems [link]
    In ICLR: 10th International Conference on Learning Representations, April 2022.

  • Gaurav Gupta, Xiongye Xiao, and Paul Bogdan
    Multiwavelet-based Operator Learning for Differential Equations [arXiv] [code]
    In NeurIPS: Proceedings of the 34th Neural Information Processing Systems Conference, December 2021. Spotlight

  • Gaurav Gupta, Chenzhong Yin, Jyotirmoy Deshmukh, and Paul Bogdan
    Non-Markovian Reinforcement Learning using Fractional Dynamics [link] [arXiv]
    In the Proceedings of IEEE Conference on Decision and Control (CDC) 2021

  • Chenzhong Yin, Gaurav Gupta, and Paul Bogdan
    Discovering laws from the Observations: A Data-driven Approach
    Dynamic Data Driven Applications Systems (DDDAS) 2020

  • Ruochen Yang*, Gaurav Gupta* and Paul Bogdan
    Data-driven Perception of Neuron Point Process with Unknown Unknowns [link] [arXiv] [code]
    Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems
    (ICCPS), Cyber-Physical Systems Week, Montreal, Quebec, Canada — April 16 - 18, 2019
    (* equal contribution authors)

  • Gaurav Gupta, Sergio Pequito and Paul Bogdan
    Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis [link] [arXiv]
    Proceedings of the 2018 ACM/IEEE International Conference on Cyber-Physical Systems
    (ICCPS), Cyber-Physical Systems Week, Porto, Portugal, April 2018

  • Gaurav Gupta, Sergio Pequito and Paul Bogdan
    Dealing with unknown unknowns: Identification and selection of minimal sensing
    for fractional dynamics with unknown inputs
    [link] [arXiv] [code]
    Proceedings of the 2018 American Control Conference, Milwaukee, USA, June 27-29, 2018

  • Gaurav Gupta and Paul Bogdan
    Distributed Placement of Power Generation Resources in Uncertain Environments [link] [code]
    Proceedings of the 2017 ACM/IEEE International Conference on Cyber-Physical Systems
    (ICCPS), Cyber-Physical Systems Week, Pittsburgh, USA, pp. 71-79, April 2017

  • Gaurav Gupta and A.K. Chaturvedi
    User Selection in MIMO Interfering Broadcast Channels (Invited paper)[talk]
    SPCOM-2014

Patents

  • Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin, and Joseph Szurley
    Training a Machine Learning Model Using a Batch Based Active Learning Approach
    U.S. Patent

  • Kapil Gulati, Gaurav Gupta, Shailesh Patil and Marco Papaleo
    Congestion Control for LTE-V2V, U.S. Patent Application No. 15/585,782, May 3 2017

  • Kapil Gulati, Gaurav Gupta, Shailesh Patil and Marco Papaleo
    Congestion Control for LTE-V2V, U.S. Patent Application No. 15/585,635, May 3 2017

  • Kapil Gulati, Gaurav Gupta, Shailesh Patil, Durga Prasad Malladi, Sudhir Kumar Baghel and Marco Papaleo
    Multi-Technology Coexistence in the unlicensed intelligent transportation service spectrum,
    U.S. Patent Application No. 15/644,378, July 7 2017

  • Shailesh Patil, Kapil Gulati and Gaurav Gupta
    Detection of Technologies for Coexistence, U.S. Patent Application No. 15/617,765, June 8 2017

  • Kapil Gulati, Shailesh Patil, Gaurav Gupta, Sudhir Kumar Baghel and Marco Papaleo
    DSRC-LTE V2V Co-Channel Long Term Coexistence, U.S. Patent Application No. 15/465,877, Mar 22 2017

Technical Reports

  • Gaurav Gupta and S.A. Jafar
    Topological Interference Management and frequency hopping [pdf]

  • Gaurav Gupta and S.A. Jafar
    Degrees of freedom in rank deficient channels [pdf]

  • Gaurav Gupta and A.K. Chaturvedi
    Low complexity user/antenna selection in MU-MIMO channels [pdf]

  • Gaurav Gupta, Shiv Prakash and A.R. Harish
    RFID Assets Tracking System [pdf]

  • Gaurav Gupta and Mayank Bhardwaj
    Interference Alignment Schemes for MIMO Channels [pdf]